Instructions to use stabilityai/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-base-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Stabilityai/Stable-diffusion-xl-base-1.0: when is it going to fixed/back up?
#179
by lightlabs - opened
would like at least a rough time estimate. Earlier yesterday I started getting nothing but internal server errors. Now, the model doesn't even get close to loading halfway before it times out.
Frustrated, yes absolutely, but remember all this stuff is part of the OSS community, come correct. You might try the website if you want a commercial fix or there are a ton of models fine-tuned that you can substitute. For instance, 0x7o/RussianVibe-XL-v2.0.
is it just me, but are you telling me to leave this alone?
it works now!